Bat algorithm for dam–reservoir operation

Optimizing reservoir operation rule is considered as a complex engineering problem which requires an efficient algorithm to solve. During the past decade, several optimization algorithms have been applied to solve complex engineering problems, which water resource decision-makers can employ to optim...

Full description

Saved in:
Bibliographic Details
Main Authors: Ethteram, Mohammad, Mousavi, Sayed Farhad, Karami, Hojat, Farzin, Saeed, Deo, Ravinesh, Othman, Faridah, Chau, Kwok Wing, Sarkamaryan, Saeed, Singh, Vijay P., El-Shafie, Ahmed
Format: Article
Published: Springer Verlag (Germany) 2018
Subjects:
Online Access:http://eprints.um.edu.my/22104/
https://doi.org/10.1007/s12665-018-7662-5
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.22104
record_format eprints
spelling my.um.eprints.221042019-12-23T04:33:51Z http://eprints.um.edu.my/22104/ Bat algorithm for dam–reservoir operation Ethteram, Mohammad Mousavi, Sayed Farhad Karami, Hojat Farzin, Saeed Deo, Ravinesh Othman, Faridah Chau, Kwok Wing Sarkamaryan, Saeed Singh, Vijay P. El-Shafie, Ahmed TA Engineering (General). Civil engineering (General) Optimizing reservoir operation rule is considered as a complex engineering problem which requires an efficient algorithm to solve. During the past decade, several optimization algorithms have been applied to solve complex engineering problems, which water resource decision-makers can employ to optimize reservoir operation. This study investigates one of the new optimization algorithms, namely, Bat Algorithm (BA). The BA is incorporated with different rule curves, including first-, second-, and third-order rule curves. Two case studies, Aydoughmoush dam and Karoun 4 dam in Iran, are considered to evaluate the performance of the algorithm. The main purpose of the Aydoughmoush dam is to supply water for irrigation. Hence, the objective function for the optimization model is to minimize irrigation deficit. On the other hand, Karoun 4 dam is designed for hydropower generation. Three different evaluation indices, namely, reliability, resilience, and vulnerability were considered to examine the performance of the algorithm. Results showed that the bat algorithm with third-order rule curve converged to the minimum objective function for both case studies and achieved the highest values of reliability index and resiliency index and the lowest value of the vulnerability index. Hence, the bat algorithm with third-order rule curve can be considered as an appropriate optimization model for reservoir operation. Springer Verlag (Germany) 2018 Article PeerReviewed Ethteram, Mohammad and Mousavi, Sayed Farhad and Karami, Hojat and Farzin, Saeed and Deo, Ravinesh and Othman, Faridah and Chau, Kwok Wing and Sarkamaryan, Saeed and Singh, Vijay P. and El-Shafie, Ahmed (2018) Bat algorithm for dam–reservoir operation. Environmental Earth Sciences, 77 (13). p. 510. ISSN 1866-6280 https://doi.org/10.1007/s12665-018-7662-5 doi:10.1007/s12665-018-7662-5
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Ethteram, Mohammad
Mousavi, Sayed Farhad
Karami, Hojat
Farzin, Saeed
Deo, Ravinesh
Othman, Faridah
Chau, Kwok Wing
Sarkamaryan, Saeed
Singh, Vijay P.
El-Shafie, Ahmed
Bat algorithm for dam–reservoir operation
description Optimizing reservoir operation rule is considered as a complex engineering problem which requires an efficient algorithm to solve. During the past decade, several optimization algorithms have been applied to solve complex engineering problems, which water resource decision-makers can employ to optimize reservoir operation. This study investigates one of the new optimization algorithms, namely, Bat Algorithm (BA). The BA is incorporated with different rule curves, including first-, second-, and third-order rule curves. Two case studies, Aydoughmoush dam and Karoun 4 dam in Iran, are considered to evaluate the performance of the algorithm. The main purpose of the Aydoughmoush dam is to supply water for irrigation. Hence, the objective function for the optimization model is to minimize irrigation deficit. On the other hand, Karoun 4 dam is designed for hydropower generation. Three different evaluation indices, namely, reliability, resilience, and vulnerability were considered to examine the performance of the algorithm. Results showed that the bat algorithm with third-order rule curve converged to the minimum objective function for both case studies and achieved the highest values of reliability index and resiliency index and the lowest value of the vulnerability index. Hence, the bat algorithm with third-order rule curve can be considered as an appropriate optimization model for reservoir operation.
format Article
author Ethteram, Mohammad
Mousavi, Sayed Farhad
Karami, Hojat
Farzin, Saeed
Deo, Ravinesh
Othman, Faridah
Chau, Kwok Wing
Sarkamaryan, Saeed
Singh, Vijay P.
El-Shafie, Ahmed
author_facet Ethteram, Mohammad
Mousavi, Sayed Farhad
Karami, Hojat
Farzin, Saeed
Deo, Ravinesh
Othman, Faridah
Chau, Kwok Wing
Sarkamaryan, Saeed
Singh, Vijay P.
El-Shafie, Ahmed
author_sort Ethteram, Mohammad
title Bat algorithm for dam–reservoir operation
title_short Bat algorithm for dam–reservoir operation
title_full Bat algorithm for dam–reservoir operation
title_fullStr Bat algorithm for dam–reservoir operation
title_full_unstemmed Bat algorithm for dam–reservoir operation
title_sort bat algorithm for dam–reservoir operation
publisher Springer Verlag (Germany)
publishDate 2018
url http://eprints.um.edu.my/22104/
https://doi.org/10.1007/s12665-018-7662-5
_version_ 1654960696147836928
score 13.160551